Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/151252
Title: BANDWIDTH-EFFICIENT METHODS TO ENHANCE ADAPTIVE VIDEO STREAMING APPLICATIONS
Authors: BAYAN ALI YOUNIS TA'ANI
ORCID iD:   orcid.org/0000-0001-9364-8196
Keywords: video, streaming, bandwidth, adaptive, mobility, 360, shvc
Issue Date: 28-Sep-2018
Citation: BAYAN ALI YOUNIS TA'ANI (2018-09-28). BANDWIDTH-EFFICIENT METHODS TO ENHANCE ADAPTIVE VIDEO STREAMING APPLICATIONS. ScholarBank@NUS Repository.
Abstract: Video streaming has seen a renaissance in recent years and the adoption of related technologies is growing tremendously. The area is considered a multi-billion dollar industry because user expectations are moving towards high-quality content, immersion, and interactivity while watching videos. In this dissertation, we address two problems that relate to the efficient use of bandwidth in adaptive video streaming systems: bandwidth estimation for mobile clients and bandwidth saving for 360&176; video streaming. In the first part, we introduce a video streaming system that relies on the use of geostatistics to analyze spatio-temporal bandwidth. Data measured by commuting users is collected in order to predict future bandwidth in unknown locations. Our approach investigates and leverages the relationship between the separation distance between sample bandwidth points, the time they were captured, and the semivariance, expressed by a variogram plot, to finally predict the future bandwidth at unknown locations. In the second part, we focus on 360&176; video streaming, where we use Scalable Video Coding to stream a panoramic-view base layer along with employing a tiling technique for the enhancement layers. We test the bandwidth efficiency of the layered-tiled approach and provide preliminary steps that prove an increased video quality.
URI: http://scholarbank.nus.edu.sg/handle/10635/151252
Appears in Collections:Master's Theses (Open)

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